{"title":"三维非定常非线性对流-扩散-反应方程的时空广义有限差分格式","authors":"Fan Zhang, Po-Wei Li, Kexin Yi","doi":"10.1016/j.aml.2025.109722","DOIUrl":null,"url":null,"abstract":"<div><div>This paper develops a space–time generalized finite difference method (ST-GFDM), integrated with a time-marching framework and the Levenberg–Marquardt algorithm (LMA), to address three-dimensional unsteady nonlinear convection–diffusion–reaction equations. The ST-GFDM, as a meshless approach combined with a space–time formulation, approximates spatial and temporal derivatives by solving a local least-squares system derived from Taylor series expansion within the ST domain. Through this formulation, the governing PDEs are converted into a nonlinear algebraic system, efficiently resolved via a two-step LMA iteration. The time-marching mechanism incrementally propagates the ST computational domain forward along the temporal axis, which significantly reduces memory usage and enhances performance in long-duration simulations. The unified treatment of time and space discretization further improves numerical robustness, alleviating sensitivity to parameters that typically challenge conventional solvers in high-dimensional transient problems. Two benchmark tests are conducted to validate the effectiveness and applicability of the proposed meshless framework for solving 3D nonlinear convection–diffusion–reaction systems.</div></div>","PeriodicalId":55497,"journal":{"name":"Applied Mathematics Letters","volume":"172 ","pages":"Article 109722"},"PeriodicalIF":2.8000,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Space–time generalized finite difference scheme for three-dimensional unsteady nonlinear convection–diffusion–reaction equation\",\"authors\":\"Fan Zhang, Po-Wei Li, Kexin Yi\",\"doi\":\"10.1016/j.aml.2025.109722\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper develops a space–time generalized finite difference method (ST-GFDM), integrated with a time-marching framework and the Levenberg–Marquardt algorithm (LMA), to address three-dimensional unsteady nonlinear convection–diffusion–reaction equations. The ST-GFDM, as a meshless approach combined with a space–time formulation, approximates spatial and temporal derivatives by solving a local least-squares system derived from Taylor series expansion within the ST domain. Through this formulation, the governing PDEs are converted into a nonlinear algebraic system, efficiently resolved via a two-step LMA iteration. The time-marching mechanism incrementally propagates the ST computational domain forward along the temporal axis, which significantly reduces memory usage and enhances performance in long-duration simulations. The unified treatment of time and space discretization further improves numerical robustness, alleviating sensitivity to parameters that typically challenge conventional solvers in high-dimensional transient problems. Two benchmark tests are conducted to validate the effectiveness and applicability of the proposed meshless framework for solving 3D nonlinear convection–diffusion–reaction systems.</div></div>\",\"PeriodicalId\":55497,\"journal\":{\"name\":\"Applied Mathematics Letters\",\"volume\":\"172 \",\"pages\":\"Article 109722\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2025-08-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Mathematics Letters\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0893965925002721\",\"RegionNum\":2,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATHEMATICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Mathematics Letters","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0893965925002721","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
This paper develops a space–time generalized finite difference method (ST-GFDM), integrated with a time-marching framework and the Levenberg–Marquardt algorithm (LMA), to address three-dimensional unsteady nonlinear convection–diffusion–reaction equations. The ST-GFDM, as a meshless approach combined with a space–time formulation, approximates spatial and temporal derivatives by solving a local least-squares system derived from Taylor series expansion within the ST domain. Through this formulation, the governing PDEs are converted into a nonlinear algebraic system, efficiently resolved via a two-step LMA iteration. The time-marching mechanism incrementally propagates the ST computational domain forward along the temporal axis, which significantly reduces memory usage and enhances performance in long-duration simulations. The unified treatment of time and space discretization further improves numerical robustness, alleviating sensitivity to parameters that typically challenge conventional solvers in high-dimensional transient problems. Two benchmark tests are conducted to validate the effectiveness and applicability of the proposed meshless framework for solving 3D nonlinear convection–diffusion–reaction systems.
期刊介绍:
The purpose of Applied Mathematics Letters is to provide a means of rapid publication for important but brief applied mathematical papers. The brief descriptions of any work involving a novel application or utilization of mathematics, or a development in the methodology of applied mathematics is a potential contribution for this journal. This journal''s focus is on applied mathematics topics based on differential equations and linear algebra. Priority will be given to submissions that are likely to appeal to a wide audience.